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2 slides16:51EN
AI Engineer· Nov 3, 2026Cristóbal Valenzuela on Interactive Video Models and Runway’s ContinuumCristóbal Valenzuela · RunwayRunway’s co-founder traces next-frame prediction from early generated film to research prototypes for interactive visual interfaces.Vision & videoWorld modelsGenerative media+2
36:45EN
The Builders· Nov 3, 2026Garry Tan on YC Founders, Personal AI Agents and Open MarketsGuest Garry Tan · Host Walter IsaacsonIn a June 2026 interview, the Y Combinator CEO discusses founder selection, AI’s effect on work and the risk of concentrated platform power.FoundersVenture CapitalPersonal agents+1
4 slides15:50EN
Theo - t3․gg· Nov 3, 2026Theo Compares Codex and Claude Subscription Value After Limit ChangesTheoTheo looks at estimated allowances, per-task costs and his own review experiments, while arguing that model quality remains decisive.Coding agentsOpenAIAI cost & performance
Slides42:30EN
How I AI· Nov 2, 2026Podcast · 2 speakersInside Figma’s PM OS: Ezra Mechaber on Skills, Bug Bashes and Automated ExperimentsGuest Ezra Mechaber · Host Claire VoFigma growth PM Ezra Mechaber shows Claire Vo how a shared repository supports product work, browser testing and a human-reviewed experiment loop.AI Product ManagementProduct ManagementAI agents+2
1:37:08EN
Machine Learning Street Talk· Nov 2, 2026Podcast · 2 speakersJoscha Bach on Consciousness, Causal Patterns and Machine MindsGuest Joscha Bach · Host Tim ScarfeA discussion of a speculative machine-consciousness hypothesis, the limits of behavioral tests and competing accounts of mind.ConsciousnessPhilosophy of MindCognitive Science+1
2 slides16:46EN
Theo - t3․gg· Nov 2, 2026Theo Browne on Claude Ultra, Five-Hour Limits and SDK UsageTheo Browne · Ping LabsA breakdown of the renamed subscription tier, verification and reported differences between interactive and SDK usage.Coding agentsDeveloper productivityDeveloper workflows & testing
1:43:15EN
Chris Williamson· Nov 2, 2026Podcast · 2 speakersJoe Hudson on Decisions, Fear and Living by Your PrinciplesGuest Joe Hudson · Host Chris WilliamsonCoach Joe Hudson joins Chris Williamson to explore indecision, emotional avoidance, personal principles and the value of learning through action.Decision MakingPsychologyPersonal Growth+2
4 slides15:51EN
AI Engineer· Nov 2, 2026Adam Nahari: Six Moves to Turn AI Pilots Into Financial ImpactAdam Nahari · ApolloAn airline crew-scheduling example shows why financial outcomes depend on workflow redesign, adoption and disciplined measurement.Enterprise AIEnterprise & strategyProductivity
1:01:08EN
Unsupervised Learning: With Jacob Effron· Nov 2, 2026Podcast · 2 speakersNebius CTO Danila Shtan on AI Clouds, Inference and Competition with HyperscalersGuest Danila Shtan · Host Jacob EffronDanila Shtan tells Jacob Effron how Nebius builds AI infrastructure, where inference remains inefficient and why he expects larger clouds to compete more aggressively.Infrastructure & deploymentInferenceDistributed training & inference+2
44:57EN
a16z· Nov 2, 2026Podcast · 3 speakersTutor Intelligence CEO Josh Gruenstein on Building Robots for Real WorkGuest Josh Gruenstein · Host Martin Casado, Raghu RaghuramJosh Gruenstein joins Martin Casado and Raghu Raghuram to discuss human tutors, robot manufacturing and the economics of factory automation.RoboticsAI agentsInfrastructure & deployment+2
7 slides40:04EN
GOTO Conferences· Nov 2, 2026Sophia Drossopoulou: Verifying Trusted Code in an Open WorldSophia Drossopoulou · Imperial College LondonCapabilities, scoped invariants and explicit trust assumptions help reason about effects when trusted code calls unknown objects.Code review & verificationProgramming LanguagesSoftware engineering
4 slides51:06EN
GOTO Conferences· Nov 2, 2026Kent Beck: Build AI Programming Tools for Human NeedsKent BeckThe “genie” can amplify healthy or unhealthy development practices. Beck calls for tools that preserve learning, connection and future options.Coding agentsSoftware engineeringDeveloper productivity+1
1:07:22EN
Latent Space· Nov 2, 2026Podcast · 3 speakersBuilding Legal AI Agents Without Seeing Client Data: Legora's Jacob LauritzenGuest Jacob Lauritzen · Host swyx, Basil ChathaLegora's CTO explains how its team evaluates legal agents, designs review workflows and builds around the confidentiality of client matters.AI agentsEnterprise AIEvals+2
3 slides20:39EN
AI Engineer· Nov 2, 2026Sagar Batchu: Authorizing AI Agent Actions Before They Reach an APISagar Batchu · SpeakeasyA proposed governance path combines agent identity, permission ceilings, policy decisions and audit records.Agent authAI securitySafety & governance+1
2 slides20:15EN
AI Engineer· Nov 2, 2026Will Brown on Training Models That Learn From Organizational WorkWill Brown · Prime IntellectPrime Intellect’s Will Brown describes how traces, evaluations and human decisions could support continual learning alongside frontier models.Continual learningAI Product ManagementEvals+2
5 slides18:33EN
AI Engineer· Nov 2, 2026Zack Proser: Build a Factory to Help Others Tell Their StoriesZack Proser · WorkOSA WorkOS blog assistant and a bedtime-story app show how AI tools can share expertise while humans retain responsibility.CreativityContent StrategyAI agents+1
1:02:12EN
20VC with Harry Stebbings· Nov 2, 2026Podcast · 2 speakersModal CEO Erik Bernhardsson on Inference, Compute and Building an AI PlatformGuest Erik Bernhardsson · Host Harry StebbingsErik Bernhardsson discusses GPU capacity, open models, sandbox growth and why Modal is expanding beyond a single infrastructure product.InferenceAI platform engineeringInfrastructure & deployment+2
1:32:16ZH → English
硅谷101· Nov 2, 2026MaxInsights Founder Yuan Yuguang on Producing First-Person Training Data for RobotsGuest 袁宇光 · Host 陈茜Yuan explains the growth and quality challenges of robotics data, from head-mounted cameras and global collectors to evaluation and deployment.RoboticsData quality & curationScaling Laws+1
2 slides27:55EN
AI Explained· Nov 2, 2026AI Safety, Model Releases and the Limits of UnderstandingAI Explained examines lab forecasts, safety commitments and competing model results, then argues for multiple safeguards as capabilities advance.AI SafetySafety & governanceModel Interpretability+2
3 slides18:57EN
AI Engineer· Nov 2, 2026Andrew Norrish: Code Context for AI-Era Incident ResponseAndrew Norrish · SourcegraphA Sourcegraph engineer describes review pressure and bounded workflows for investigating, preventing and fixing incidents.Coding agentsObservability & reliabilityDeveloper workflows & testing+1
5 slides15:44EN
AI Engineer· Nov 1, 2026Yijia Liang on Building Office-Compatible Engines for Finance AgentsYijia Liang · Compound AICompound’s approach combines shared agent inboxes, document engines and cited access to large data rooms.Agent engineeringSoftware engineeringDeveloper productivity
5 slides16:37EN
AI Engineer· Nov 1, 2026Nick Nisi: What a Fruit Fly Code Reviewer Reveals About Human ReviewNick Nisi · WorkOSA simulated fruit fly becomes an unlikely code reviewer—and a starting point for a team-owned automated review pipeline.Developer workflows & testingCoding agentsSoftware engineering+1
18:52EN
AI Engineer· Nov 1, 2026Hahnbee Lee and Lincoln Murr on Documentation and Payments for AI AgentsHahnbee Lee, Lincoln Murr · MintlifyAs agents increasingly read docs and use services, Mintlify and Coinbase describe the importance of accurate content, APIs, payment permissions and maintenance.Agent engineeringAgentic commerceDeveloper productivity
1:27:47EN
Lenny's Podcast· Nov 1, 2026Podcast · 2 speakersHector Serrano on Building a Paid Creator Program at Wispr FlowGuest Hector Serrano · Host Lenny RachitskyHow a creator-led growth team recruits, compensates and supports paid UGC creators—and uses founder storytelling alongside ads.Growth StrategyCreator EconomyContent Strategy+1
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